Human object interaction detection: Design and survey
Author:
Funder
National Council for Scientific Research
American University of Beirut University Research Board
Publisher
Elsevier BV
Subject
Computer Vision and Pattern Recognition,Signal Processing
Reference72 articles.
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2. G. Gkioxari, R. Girshick, P. Dollár, K. He, Detecting and recognizing human-object interactions, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 8359–8367.
3. S. Qi, W. Wang, B. Jia, J. Shen, S.-C. Zhu, Learning human-object interactions by graph parsing neural networks, in: Proceedings of the European Conference on Computer Vision (ECCV), 2018, pp. 401–417.
4. C. Gao, Y. Zou, J.-B. Huang, ican: Instance-centric attention network for human-object interaction detection, arXiv preprint arXiv:1808.10437.
5. O. Ulutan, A. Iftekhar, B.S. Manjunath, Vsgnet: Spatial attention network for detecting human object interactions using graph convolutions, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 13617–13626.
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